Yuchen Xie
- Artificial Intelligence
- Information Systems top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Co-authors
- Zhaoran WangZhuoran YangJaved Ali KhanLin LiuLijie WenBaba C. VemuriJeffrey HoXiaodong Tao
- Topics
- Magnetic and transport properties of perovskites and related materials (7 papers)Advanced Neural Network Applications (5 papers)Advanced Condensed Matter Physics (3 papers)
- Journals
- Journal of Colloid and Interface ScienceJournal of Environmental ManagementIEEE Transactions on Medical Imaging
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Yuchen Xie
22 papers receiving 221 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 71
- Information Systems 54
- Electrical and Electronic Engineering 48
- Computer Vision and Pattern Recognition 42
- Computer Networks and Communications 38
Countries citing papers authored by Yuchen Xie
This map shows the geographic impact of Yuchen Xie's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yuchen Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuchen Xie more than expected).
Fields of papers citing papers by Yuchen Xie
This network shows the impact of papers produced by Yuchen Xie. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yuchen Xie. The network helps show where Yuchen Xie may publish in the future.
Co-authorship network of co-authors of Yuchen Xie
This figure shows the co-authorship network connecting the top 25 collaborators of Yuchen Xie. A scholar is included among the top collaborators of Yuchen Xie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuchen Xie. Yuchen Xie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 5 | |
| 17 | A Theoretical Analysis of Deep Q-Learning | 113 |
| 18 | 3 | |
| 19 | 9 | |
| 20 | 2 |
About Yuchen Xie
Yuchen Xie is a scholar working on Computer Vision and Pattern Recognition, Electronic, Optical and Magnetic Materials and Metals and Alloys, having authored 31 papers that have together received 229 indexed citations. Recurring topics across this work include Magnetic and transport properties of perovskites and related materials (7 papers), Advanced Neural Network Applications (5 papers) and Advanced Condensed Matter Physics (3 papers). The work is most often cited by research in Computer Science Applications (16 citations), Information Systems (54 citations) and Artificial Intelligence (71 citations). Yuchen Xie has collaborated with scholars based in China, United States and France. Frequent co-authors include Zhaoran Wang, Zhuoran Yang, Javed Ali Khan, Lin Liu, Lijie Wen, Baba C. Vemuri, Jeffrey Ho, Xiaodong Tao, Maoqiang Bi and Jorge Nocedal. Their work appears in journals such as Journal of Colloid and Interface Science, Journal of Environmental Management and IEEE Transactions on Medical Imaging.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.